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发电技术  2020, Vol. 41 Issue (2): 131-136    DOI: 10.12096/j.2096-4528.pgt.19052
泛在电力物联网与综合能源系统关键技术 本期目录 | 过刊浏览 |
基于改进NSGA-Ⅱ算法的电-气-热综合能源系统多目标优化
蒋猛1(),黄宇1,廖伟涵2,张简炼2,张又文2,郭创新2()
1 贵州电网有限公司贵阳供电局, 贵州省 贵阳市 550002
2 浙江大学电气工程学院, 浙江省 杭州市 310027
Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm
Meng JIANG1(),Yu HUANG1,Weihan LIAO2,Jianlian ZHANG2,Youwen ZHANG2,Chuangxin GUO2()
1 Guiyang Power Supply Bureau of Guizhou Power Grid Co., Ltd., Guiyang 550002, Guizhou Province, China
2 College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China
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摘要: 

随着电力、天然气和热力网络耦合紧密程度不断加深,综合能源系统协同优化成为了新的研究热点。提出一种适用于含非凸约束条件的综合能源系统多目标优化问题的改进NSGA-Ⅱ算法,通过维护全局的帕累托最优解集提升解的搜索效率,同时采用动态调整法,提高在高维等式约束下找到可行解的概率。算例分析验证了该方法的有效性。

关键词 综合能源系统(IES)改进NSGA-Ⅱ算法遗传算法多目标优化调度    
Abstract

With the development of interaction between electricity, natural gas and heat networks, collaborative optimization of integrated energy system has become a new research focus. An improved NSGA-Ⅱ algorithm was proposed to solve the optimization problem of integrated energy system, which contained multiple objectives and nonconvex constraints, a global Pareto set maintenance method was proposed to improve the search efficiency of Pareto-optimal solutions. Dimensional reduction and dynamic adjustment were applied to improve the probability of finding feasible solutions under high-dimension equality constraints. An example was analyzed to prove the validity of the proposed method.

Key wordsintegrated energy system (IES)    improved NSGA-Ⅱ algorithm    genetic algorithm    multi-objective optimal scheduling
收稿日期: 2019-04-14      出版日期: 2020-04-23
ZTFLH:  TK01+9  
基金资助:国家自然科学基金项目(51537010)
作者简介: 蒋猛(1989),男,硕士,工程师,研究方向为电力调度, 272522195@qq.com|郭创新(1969),男,教授,博士生导师,主要研究方向为智能调度及风险调度、智能信息处理技术及其在电力系统的应用, guochuangxin@zju.edu.cn
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引用本文:

蒋猛,黄宇,廖伟涵,张简炼,张又文,郭创新. 基于改进NSGA-Ⅱ算法的电-气-热综合能源系统多目标优化[J]. 发电技术, 2020, 41(2): 131-136.
Meng JIANG,Yu HUANG,Weihan LIAO,Jianlian ZHANG,Youwen ZHANG,Chuangxin GUO. Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm. Power Generation Technology, 2020, 41(2): 131-136.

链接本文:

http://www.pgtjournal.com/CN/10.12096/j.2096-4528.pgt.19052      或      http://www.pgtjournal.com/CN/Y2020/V41/I2/131

图1  改进NSGA-Ⅱ求解流程
图2  电-热-气综合系统拓扑结构
图3  第20代帕累托最优解集
图4  第100代帕累托最优解集
图5  帕累托最优解的数量
图6  计算时间成本
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